"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-07 16:22:40.703126
"""

```python
from typing import Callable, Any


class FallbackExecutor:
    """
    A class that provides a mechanism for executing tasks with fallbacks.
    
    Attributes:
        primary_executor (Callable): The main function to execute.
        fallback_executors (list[Callable]): A list of functions to try in case the primary executor fails.

    Methods:
        run: Executes the primary task or one of its fallbacks if an error occurs.
    """
    
    def __init__(self, primary_executor: Callable, *fallback_executors: Callable):
        self.primary_executor = primary_executor
        self.fallback_executors = list(fallback_executors)
        
    def run(self) -> Any:
        """
        Attempts to execute the primary executor. If it raises an exception, tries each fallback in turn.
        
        Returns:
            The result of the successful execution or None if all fail.
        """
        try:
            return self.primary_executor()
        except Exception as e:
            for fallback in self.fallback_executors:
                try:
                    return fallback()
                except Exception:
                    continue
            return None


# Example usage
def main_task() -> str:
    # Simulating a task that may fail
    if not some_condition():
        raise ValueError("Failed to complete primary task")
    return "Task completed successfully with no error!"

def fallback1() -> str:
    return "Fallback 1 executed"

def fallback2() -> str:
    return "Fallback 2 executed"

# Creating an instance of FallbackExecutor
executor = FallbackExecutor(main_task, fallback1, fallback2)

# Running the executor
result = executor.run()
print(result)  # Output will depend on some_condition and whether fallbacks are needed.
```

This code snippet defines a `FallbackExecutor` class that can be used to handle limited error recovery in Python. The example usage demonstrates how it can be applied to tasks that may fail, with predefined fallback functions as alternatives.